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@ARTICLE{Gurke:811184,
author = {Gurke, Renate},
title = {{T}he approximate solution of the {E}uclidean traveling
salesman problem on a {CRAY} {X}-{MP}},
journal = {Parallel computing},
volume = {8},
number = {1-3},
issn = {0167-8191},
address = {Amsterdam [u.a.]},
publisher = {North-Holland, Elsevier Science},
reportid = {FZJ-2016-03693},
pages = {177 - 183},
year = {1988},
abstract = {The efficient use of MIMD computers calls for a careful
choice of adequate algorithms as for an implementation
taking into account the particular architecture. To
demonstrate these facts, a parallel algorithm to find an
approximate solution to the Euclidean Traveling Salesman
Problem (ETSP) is presented. The algorithm is a
parallelization of Karp's partitioning algorithm. It is a
divide-and-conquer method for solving the ETSP
approximately. Since the successor vertex to any vertex in
the tour is usually a nearby vertex, the problem can be
‘geographically’ partitioned into subproblems which then
can be solved independently. The resulting subtours can be
combined into a single tour which is an approximate solution
to the ETSP. The algorithm is implemented on a CRAY X-MP
with two and four processors, and results using macrotasking
and microtasking are presented.},
cin = {ZAM / JSC},
ddc = {004},
cid = {I:(DE-Juel1)VDB62 / I:(DE-Juel1)JSC-20090406},
pnm = {899 - ohne Topic (POF3-899)},
pid = {G:(DE-HGF)POF3-899},
typ = {PUB:(DE-HGF)16},
UT = {WOS:A1988R035300019},
doi = {10.1016/0167-8191(88)90122-6},
url = {https://juser.fz-juelich.de/record/811184},
}